activity
20182022
most citedPath Planning for Manipulation using Experience-driven Random Trees

29 citations · 62 across the 6 of their papers we have counts for

collaborators

16 papers

cs.RO2022

Nukhada USV: a Robot for Autonomous Surveying and Support to Underwater Operations

Èric Pairet, Simone Spanò, Nikita Mankovskii +5

The Technology Innovation Institute in Abu Dhabi, United Arab Emirates, has recently finished the production and testing of a new unmanned surface vehicle, called Nukhada, specific…

cs.RO2022

Underwater Robot Manipulation: Advances, Challenges and Prospective Ventures

Sara Aldhaheri, Giulia De Masi, Èric Pairet +1

Underwater manipulation is one of the most remarkable ongoing research subjects in robotics. \acp{I-AUV} not only have to cope with the technical challenges associated with traditi…

cs.RO2021

From market-ready ROVs to low-cost AUVs

Jonatan Scharff Willners, Ignacio Carlucho, Tomasz Łuczyński +10

Autonomous Underwater Vehicles (AUVs) are becoming increasingly important for different types of industrial applications. The generally high cost of (AUVs) restricts the access to…

cs.AI2021

Building Affordance Relations for Robotic Agents - A Review

Paola Ardón, Èric Pairet, Katrin S. Lohan +2

Affordances describe the possibilities for an agent to perform actions with an object. While the significance of the affordance concept has been previously studied from varied pers…

cs.RO202129 cited

Path Planning for Manipulation using Experience-driven Random Trees

Èric Pairet, Constantinos Chamzas, Yvan Petillot +1

Robotic systems may frequently come across similar manipulation planning problems that result in similar motion plans. Instead of planning each problem from scratch, it is preferab…

cs.RO2020

Affordance-Aware Handovers with Human Arm Mobility Constraints

Paola Ardón, Maria E. Cabrera, Èric Pairet +4

Reasoning about object handover configurations allows an assistive agent to estimate the appropriateness of handover for a receiver with different arm mobility capacities. While th…